Deep learning for channel estimation in non-orthogonal multiple access scheme

• Main Author: Ge, Hongyu
• Other Authors: Teh Kah Chan
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering::Wireless communication systems
• Online Access: https://hdl.handle.net/10356/140952
• Institution: Nanyang Technological University

Non-orthogonal multiple access (NOMA) has a great potential in the fifth generation (5G) communication systems and has drawn increasing attention because of the capability of increasing spectral efficiency and supporting the large number of connections. However, the unsteady channel characteristic o...